DatriseAI-first ETL

SendGrid Microsoft SQL Server

AI-first ETL from SendGrid into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads SendGrid into Microsoft SQL Server

Datrise syncs SendGrid's messages, templates, suppressions, bounces, and engagement events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

SendGrid: Transactional and marketing email delivery platform.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How SendGrid entities map to Microsoft SQL Server

SendGrid entityMicrosoft SQL Server objectNotes
messagessendgrid_messagesid PK · custom fields → NVARCHAR(MAX) JSON columns
templatessendgrid_templatesid PK · linked to sendgrid_messages
suppressionssendgrid_suppressionsid PK · linked to sendgrid_messages
bouncessendgrid_bouncesid PK · linked to sendgrid_messages

FAQ

How does Datrise handle SendGrid's custom fields in Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the SendGrid to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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